A Convolution Model for Heart Rate Prediction in Physical Exercise

Melanie Ludwig, Harald G. Grohganz, Alexander Asteroth

2016

Abstract

During exercise, heart rate has proven to be a good measure in planning workouts. It is not only simple to measure but also well understood and has been used for many years for workout planning. To use heart rate to control physical exercise, a model which predicts future heart rate dependent on a given strain can be utilized. In this paper, we present a mathematical model based on convolution for predicting the heart rate response to strain with four physiologically explainable parameters. This model is based on the general idea of the Fitness-Fatigue model for performance analysis, but is revised here for heart rate analysis. Comparisons show that the Convolution model can compete with other known heart rate models. Furthermore, this new model can be improved by reducing the number of parameters. The remaining parameter seems to be a promising indicator of the actual subject’s fitness.

Paper Citation

in Harvard Style

Ludwig M., G. Grohganz H. and Asteroth A. (2016). A Convolution Model for Heart Rate Prediction in Physical Exercise . In Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-205-9, pages 157-164. DOI: 10.5220/0006030901570164

in Bibtex Style

@conference{icsports16,
author={Melanie Ludwig and Harald G. Grohganz and Alexander Asteroth},
title={A Convolution Model for Heart Rate Prediction in Physical Exercise},
booktitle={Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2016},
pages={157-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006030901570164},
isbn={978-989-758-205-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - A Convolution Model for Heart Rate Prediction in Physical Exercise
SN - 978-989-758-205-9
AU - Ludwig M.
AU - G. Grohganz H.
AU - Asteroth A.
PY - 2016
SP - 157
EP - 164
DO - 10.5220/0006030901570164